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Author:

Zhang, G. (Zhang, G..) | Xie, J. (Xie, J..) | Du, B. (Du, B..) | Liu, H. (Liu, H..) | Wang, J. (Wang, J..) | Liu, J. (Liu, J..)

Indexed by:

EI Scopus SCIE

Abstract:

Liquid desiccant dehumidification systems have demonstrated good energy savings and dehumidification effects in extremely hot and humid areas. However, to improve system performance, the matching problem between the desiccant-regeneration solution recirculation ratio and system performance has not been thoroughly investigated. Therefore, in this study, we constructed a liquid desiccant dehumidification system with solution recirculation and set four circulation modes: NS mode without solution recirculation, CS mode with only desiccant solution recirculation, RS mode with only regeneration solution recirculation, and CRS mode with both desiccant and regeneration solution recirculation. The orthogonal test method was used to determine the influence of solution recirculation on the evaluation indicators, and multi-objective optimization of the major parameters under the four circulation modes was performed based on the NSGA-II and TOPSIS algorithms. The results showed a clear conflict between the moisture removal rate (MRR) and energy consumption (Q). In extremely hot and humid areas, a high air flow rate is suitable for use in the regenerator to process small-flow-rate solutions or set larger sizes. Under typical environmental conditions, it is recommended to set up a liquid desiccant dehumidification system with a solution recirculation structure: when MRR demand is high, the CS mode should be used, where MRR is 6.72 g/s; when Q demand is high, the RS mode should be used where Q is 35.34 kW; considering both MRR and Q effects, the CRS mode should be used where unit energy consumption moisture removal rate is 0.1196 g/(s·kW). © 2023 Elsevier Ltd

Keyword:

Performance evaluation Multi-objective optimization Solution recirculation Liquid desiccant Dehumidification

Author Community:

  • [ 1 ] [Zhang G.]Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Xie J.]Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Du B.]Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Liu H.]Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Wang J.]Naval Institute of Engineering Design and Research, PLA, Beijing, 100070, China
  • [ 6 ] [Liu J.]Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Building Engineering

ISSN: 2352-7102

Year: 2023

Volume: 75

6 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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